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Lib.utexas.edu

Recommended by ChatGPT across 1 prompt topics people ask about
0
ESTIMATED
ChatGPT referrals / mo
Prompt topics
1
Monthly ChatGPT prompts
363
Est. value / mo
$0
Avg rank
15.00
These aren't logged prompts (ChatGPT doesn't share those). They're the commercial topics people ask ChatGPT to recommend products for, sized from real search demand and verified by running each one through ChatGPT. How we estimate this.

Prompts where ChatGPT recommends Lib.utexas.edu

Each topic written the way a person would ask it. Estimated visits = this site's share of that prompt's demand.

Different ways people phrase this prompt. We merge them into one category, and the full ranking covers them all.

View full details for this prompt →
    View full details for this prompt →

    Proof: a real ChatGPT answer

    One of the 5 runs for What's the best cartographic maps?, verbatim.

    ChatGPT:
    1. nationalgeographic.com
    2. mapquest.com
    3. google.com
    4. arcgis.com
    5. openstreetmap.org
    6. usgs.gov
    7. britannica.com
    8. wikipedia.org

    Where Lib.utexas.edu ranks

    How often ChatGPT places this site at each position across its prompt topics.

    #15
    most common spot
    0%
    of the time in the top 3
    #1
    0
    #2
    0
    #3
    0
    #4
    0
    #5
    0
    #6
    0
    #7
    0
    #8
    0
    #9
    0
    #10
    0
    #11
    0
    #12
    0
    #13
    0
    #14
    0
    #15
    1
    #16
    0
    #17
    0
    #18
    0
    #19
    0
    #20
    0

    Who else ChatGPT recommends

    Sites that come up for the same prompts as Lib.utexas.edu, ranked by how many topics they share.

    loc.gov
    1 shared
    noaa.gov
    1 shared
    cia.gov
    1 shared
    mapsofworld.com
    1 shared
    worldatlas.com
    1 shared
    arcgis.com
    1 shared
    google.com
    1 shared
    esri.com
    1 shared
    usgs.gov
    1 shared
    mapquest.com
    1 shared
    How is this estimated?

    ChatGPT doesn't publish prompt data. We measure real demand for each commercial topic from Google search volume, scale it to ChatGPT's user base (about 1 ChatGPT user for every 8 Google searchers), and run each topic through ChatGPT 5 times to record which sites it recommends and in what order. A click-through-by-rank curve splits each topic's demand across the recommended sites. Every figure is a modeled estimate, not measured analytics. Full methodology →